ich ein Google Cloud-Projekt in Cloud Shell auf und versuchte, dieses Tutorial Skript auszuführen https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/flowers/sample.shapache_beam.runners.dataflow_runner.DataflowRuntimeException: Datenfluß-Pipeline fehlgeschlagen:
in diesen Fehler Ran:
***@***:~/git/cloudml-samples/flowers$ ./sample.sh
Your active configuration is: [cloudshell-4691]
Using job id: flowers_***_20170113_162148
python trainer/preprocess.py \
--input_dict "$DICT_FILE" \
--input_path "gs://cloud-ml-data/img/flower_photos/eval_set.csv" \
--output_path "${GCS_PATH}/preproc/eval" \
--cloud
WARNING:root:Using fallback coder for typehint: Any.
WARNING:root:Using fallback coder for typehint: Any.
WARNING:root:Using fallback coder for typehint: Any.
DEPRECATION: pip install --download has been deprecated and will be removed in the future. Pip now has a download command that should be used instead.
Collecting google-cloud-dataflow==0.4.4
Using cached google-cloud-dataflow-0.4.4.zip
Saved /tmp/tmpSoHiTi/google-cloud-dataflow-0.4.4.zip
Successfully downloaded google-cloud-dataflow
# Takes about 30 mins to preprocess everything. We serialize the two
Traceback (most recent call last):
File "trainer/preprocess.py", line 436, in <module>
main(sys.argv[1:])
File "trainer/preprocess.py", line 432, in main
run(arg_dict)
File "trainer/preprocess.py", line 353, in run
p.run()
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 159, in run
return self.runner.run(self)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow_runner.py", line 195, in run
% getattr(self, 'last_error_msg', None), self.result)
apache_beam.runners.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed:
(b85b0a598a3565cb): Workflow failed.
Ich war nicht in der Lage, irgendeine Ahnung zu bekommen, wo ich falsch gemacht habe von the Error Log of GoogleCloud Dataflow
Schätzen Sie jede Antwort und Hilfe bei der Fehlersuche.
Nur getestet, das ist die richtige Lösung. Job läuft jetzt. Vielen Dank :-) –